)
AI shouldn’t be a burden. It shouldn’t take years to implement. It shouldn’t be a high-risk, low-return investment. And yet, until now, AI’s promise couldn’t be further from reality.
Consider the numbers: 90% of AI pilots will fail to move into production in a reasonable timeframe. That’s according to a 2023 Everest Group panel of 50 CIOs and CTOs as reported in Forbes. The problem? Too many data quality, integration and/or governance barriers. What’s more, those that take the time—often years—to solve their data challenges often don’t fare much better: in a 2024 press release by Gartner, the tech research and consulting leader estimated that 80% of data and analytics initiatives will likely fail under current circumstances.
Unfortunately, enterprises don’t have years to bring their infrastructure into the AI Era. They need to deploy AI now—and they need it to do it with the data architecture they already have in place. The good news: that is now possible with Zero Data AI Cloud.
AI can’t wait for data. Introducing Zero Data AI Cloud
Zero Data AI Cloud is a revolutionary approach to enterprise AI that lets organizations harness their data exactly where it resides—without moving or transforming it. Zero Data AI Cloud enables advanced AI capabilities while eliminating the months or years traditionally required for data preparation and integration.
How It Works
Zero Data AI Cloud is an infrastructure-agnostic architecture that creates a seamless data fabric across any data platform, enterprise application or cloud environment. It consists of four integrated layers, each designed to address critical enterprise AI challenges:
Composable Data Layer
This layer allows enterprises to access and utilize enterprise data without complex data migration or replication, slashing AI deployment time from months to weeks while simultaneously strengthening data governance control.
Knowledge Layer
This layer transforms raw enterprise data into an AI-ready knowledge lake, ensuring AI outputs are grounded in business reality and protected by enterprise guardrails.
Model Layer
Built for maximum flexibility, this layer enables countless options for enterprises to easily pick relevant foundational models and/or work with multiple models to meet their business needs. Within the model layer there are tooling capabilities to easily create fine-tuned industry and enterprise-specific small language models.
Intelligent Agents Layer
This layer empowers the functional user and citizen developer to build and manage intelligent and personalized AI agents for specific business needs (i.e. customer service, marketing, HR, sales) and workflow automation.
Together, these layers create a complete platform that transforms how organizations deploy, scale and manage their AI initiatives. This unique system bypasses traditional data bottlenecks, enabling businesses to quickly and securely leverage the sum of their enterprise data to drive high-accuracy AI outputs—throughout their existing infrastructure.
Finally—AI that delivers on its promise
With Zero Data AI Cloud, enterprises don’t need to second-guess or rethink their AI investments. Our groundbreaking four-layer platform gives organizations the freedom to use their data exactly as it is to fuel their AI initiatives. No complicated migrations, transformations or reconfigurations required. The results:
- Accelerated time to value via seamless data access, with support for multi-cloud and virtual private cloud deployments and pre-built applications for customer service, sales, HR and marketing.
- Superior AI performance through fine-tuned industry and enterprise models that access enterprise knowledge in any data format and take advantage of our open architecture and orchestration capabilities.
- Enterprise data freedom across any platform, architecture or application, eliminating data disruptions and giving users complete control over sensitive enterprise knowledge and information.
Want to learn more?
Discover how Zero Data AI Cloud is making AI attainable for enterprises everywhere.